Hugging Face Overview
The Edcastro/gemma-2b-it-edcastr_JavaScript-v4 is a 2.5 billion parameter language model available on the Hugging Face Hub. While the model card indicates it is an instruction-tuned model, specific details regarding its architecture, training data, and intended applications are currently marked as "More Information Needed."
Key Characteristics
- Parameter Count: 2.5 billion parameters
- Context Length: 8192 tokens
- Model Type: Instruction-tuned
Limitations and Recommendations
The provided model card highlights that information regarding the model's developers, specific training procedures, evaluation results, and potential biases or risks is currently missing. Users are advised that both direct and downstream users should be made aware of the model's risks, biases, and limitations, once that information becomes available. Without further details, it is difficult to ascertain the model's specific strengths or ideal use cases.
Getting Started
The model card includes a section for code to get started with the model, though the content is currently a placeholder. Users interested in deploying or experimenting with this model should refer to the Hugging Face repository for updates on usage instructions and further technical specifications.